Qwen2.5-1M
The Qwen2.5-1M is an advanced open-source language model that processes context lengths of up to one million tokens. Featuring two variants, Qwen2.5-7B-Instruct-1M and Qw... The Qwen2.5-1M is an advanced open-source language model that processes context lengths of up to one million tokens. Featuring two variants, Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M, this model introduces an efficient inference framework leveraging sparse attention methods, achieving 3x to 7x faster processing speeds for extensive inputs.
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Company Information
- Company: Alibaba
- Country: China
Top Qwen2.5-1M Features
- Open-source model availability
- Supports 1 million tokens
- Qwen2.5-7B-Instruct-1M model
- Qwen2.5-14B-Instruct-1M model
- Efficient inference framework
- Sparse attention integration
- 3x to 7x speed improvement
- Long-context processing capabilities
- Dual Chunk Attention method
- Enhanced kernel efficiency
- Dynamic chunked pipeline parallelism
- Minimal VRAM usage
- Instruction-tuned performance
- Passkey retrieval accuracy
- Comprehensive technical report
- Optimized deployment instructions
- Integration with Qwen-Agent
- Support for GPU architectures
- Advanced long-context tasks
- User-friendly interaction methods
